DLA_PORPVGRW (3) Linux Manual Page
dla_porpvgrw.f –
Synopsis
Functions/Subroutines
DOUBLE PRECISION function dla_porpvgrw (UPLO, NCOLS, A, LDA, AF, LDAF, WORK)DLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix.
Function/Subroutine Documentation
DOUBLE PRECISION function dla_porpvgrw (character*1UPLO, integerNCOLS, double precision, dimension( lda, * )A, integerLDA, double precision, dimension( ldaf, * )AF, integerLDAF, double precision, dimension( * )WORK)
DLA_PORPVGRW computes the reciprocal pivot growth factor norm(A)/norm(U) for a symmetric or Hermitian positive-definite matrix. Purpose:
DLA_PORPVGRW computes the reciprocal pivot growth factor
norm(A)/norm(U). The "max absolute element" norm is used. If this is
much less than 1, the stability of the LU factorization of the
(equilibrated) matrix A could be poor. This also means that the
solution X, estimated condition numbers, and error bounds could be
unreliable.
Parameters:
- UPLO
UPLO is CHARACTER*1
NCOLS
= ‘U’: Upper triangle of A is stored;
= ‘L’: Lower triangle of A is stored.NCOLS is INTEGER
A
The number of columns of the matrix A. NCOLS >= 0.A is DOUBLE PRECISION array, dimension (LDA,N)
LDA
On entry, the N-by-N matrix A.LDA is INTEGER
AF
The leading dimension of the array A. LDA >= max(1,N).AF is DOUBLE PRECISION array, dimension (LDAF,N)
LDAF
The triangular factor U or L from the Cholesky factorization
A = U**T*U or A = L*L**T, as computed by DPOTRF.LDAF is INTEGER
WORK
The leading dimension of the array AF. LDAF >= max(1,N).WORK is DOUBLE PRECISION array, dimension (2*N)
Author:
- Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
- September 2012
Definition at line 106 of file dla_porpvgrw.f.
